Image Processing
This dataset consists of a test result dataset with 10 sample images and a test result dataset with a artificial image. Backpropagation neural networks (BPNNs) can be used to restore images; however, the error surface of the BPNN algorithm contains several extrema, making it easy to slip into a locally optimal solution. A genetic algorithm (GA) with a strong global searchability can optimize the initial weight and threshold of BPNNs. However, traditional GAs are prone to local convergence and stagnation; hence, we propose a hybrid GA.
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285 Views
This dataset contains 37 estrogen receptor immunohistochemistry (ER-IHC) whole slide images (WSIs) obtained from Universiti Malaya Medical Centre (UMMC), Malaysia. The WSI is scanned using 3DHistech Pannoramic DESK at 20x magnification with an approximate dimension of 80,000 pixels width and 200,000 pixels height per WSI.
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1185 Views
Realistic benchmark datasets are crucial for providing a consistent measurement baseline for comparing different BlindSR methods and testing their generalization ability in real-world scenarios. However, the evaluation of BlindSR methods is still limited by the lack of a common dataset that conforms to realistic degradation scenarios. We construct a benchmark dataset that follows real scenarios, which reflects the real-world BlindSR problem more accurately than existing synthetic datasets.
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102 Views
A novel method is proposed in the paper to obtain the high-precision estimation of the angular velocity and the star-spot’s centroid at the same time. First, the Radon transform on a single frame image is adopted to roughly estimate the initial value of angular velocity and the star-spot’s centroid based on the dynamic imaging and kinematic model. Then, theloss function of each star spot is constructed by combining two consecutive frames.
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40 Views
The morphological characteristics of skeletal muscles, such as fascicle orientation, fascicle length, and muscle thickness, contain valuable mechanical information that aids in understanding muscle contractility and excitation due to commands from the central nervous system. Ultrasound (US) imaging, a non-invasive measurement technique, has been employed in clinical research to provide visualized images that capture morphological characteristics. However, accurately and efficiently detecting the fascicle in US images is challenging.
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213 Views
This simulation dataset contains five types of data: resolutions, vessels, vessel stenosis, tumors, and shape combinations. There are a total of 1000 original binary images. Besides, we set different gray values on images with multiple connected domains to simulate different concentration of magnetic nanoparticles. Next, the images are subjected to operations such as image inversion and image rotation. The final dataset contains 20,000 images. we applied the X-space method based on the X-space theory and we generated the simulated image of magnetic particle imaging.
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315 Views
In industrial microscopic detection, learning-based autofocus methods have empowered operators to acquire high-quality images quickly. Learning-based methods consist of two parts: network model and prior dataset. The network model, which approximates the relationship between input and output, exists fitting error. The prior dataset is made by sharpness metric and used for model training, while the limitations of the metric itself will affect the accuracy of the dataset.
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332 Views
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409 Views
It is a challenging work to solve the geometric attack in the field of digital watermarking. In order to solve the synchronization between the host image and the watermark, image normalization is introduced. Firstly, the geometrically invariant space of image is constructed by using image normalization, and a region of interest (ROI) is obtained from the normalized image by utilizing the invariant centroid theory. Then, the contourlet transform is performed on the ROI. Low-pass sub-band coefficients are divided into non-overlapping blocks.
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132 Views
Supplementary material of the article "Precise 2D and 3D fluoroscopic Imaging by using an FMCW Millimeter-Wave Radar".
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108 Views